Multi-input and Multi-variable systems
Observational Learning
Automatic Processing and Automatic Social Behavior
Force Classification
Classification of Signals
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Decoding Natural Behavior from Neuroethological Embedding
Published on: October 3, 2025
Panqi Pu1, Junge Wang1, Geqi Yan1
1Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Animal Nutrition and Efficient Feeding, Department of Animal Science, Shandong Agricultural University, Tai'an 271017, China.
这项研究引入了一种改进的YOLOv8n模型,用于在智能畜牧业中有效监测猪行为. 改进后的模型在识别关键的猪行为方面取得了很高的准确性,支持非侵入性健康异常检测.
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